广泛靶向脂质组（Widely targeted lipidomics），是整合了非靶向代谢组数据库内容丰富和靶向代谢组定性定量准确检测优势的代谢组检测技术，使得一次性定性定量检测大量功能代谢物成为可能。
敏心生物采用UPLC-MS/MS技术平台，建立了专门的数据库，经过标准品和生物样本的验证，共计检测8000种脂质化合物，其中正离子模式下可定性定量检测甘油酯、鞘磷脂、胆固醇酯、神经酰胺、磷脂酰乙醇胺等9类3000余种脂质。负离子模式下可定性定量检测磷脂酰胆碱、磷脂酰乙醇胺、溶血磷脂酰甘油、心磷脂、磷脂酸等13类4000余种脂质。
|
分类简写 |
英文名称 |
中文名称 |
物质种类 |
|
SM |
sphingomyelin |
鞘磷脂 |
35 |
|
CE |
Cholesterol Ester |
胆固醇酯 |
21 |
|
CER |
Ceramides |
神经酰胺 |
35 |
|
GlcCer |
Glucosyl Ceramides |
葡萄糖神经酰胺 |
35 |
|
LacCer |
Lactosyl ceramides |
乳糖神经酰胺 |
35 |
|
PE |
phosphatidylethanolamine |
磷脂酰乙醇胺 |
630 |
|
TG |
triglyceride |
甘油三酯 |
1834 |
|
DG |
diacylglycerol |
甘油二酯 |
630 |
|
MG |
monoglyceride |
甘油单酯 |
35 |
|
LPC |
lysophosphatidylcholine |
溶血磷脂酰胆碱 |
35 |
|
PC |
phosphatidylcholine |
磷脂酰胆碱 |
630 |
|
LPE |
lysophosphatidylethanolamine |
溶血磷脂酰乙醇胺 |
35 |
|
PE |
phosphatidylethanolamine |
磷脂酰乙醇胺 |
630 |
|
LPG |
lysophosphatidylglycerol |
溶血磷脂酰甘油 |
35 |
|
PG |
phosphatidylglycerol |
磷脂酰甘油 |
630 |
|
LPI |
lysophosphatidylinositol |
溶血磷脂酰肌醇 |
35 |
|
PI |
phosphatidylinositol |
磷脂酰肌醇 |
630 |
|
LPS |
lysophosphatidylserine |
溶血磷脂酰丝氨酸 |
35 |
|
PS |
phosphatidylserine |
磷脂酰丝氨酸 |
630 |
|
CL |
cardiolipin |
心磷脂 |
25 |
|
PA |
phosphatidic acid |
磷脂酸 |
630 |
|
FFA |
free fatty acid |
游离脂肪酸 |
35 |
检测方法及仪器参数
LC-MS/MS同位素内标法定量
液相色谱：Waters Acquity UPLC 质谱：AB Sciex 5500 QQQ –MS
色谱柱：Acquity UPLC BEH C18柱
流动相A： 水：甲醇：乙腈
流动相B： B-异丙醇
运行时间：17 min（单模式）
数据交付
1.实验报告，包括实验预处理，实验条件（LC-MS参数）等。
2. 实验报告，包括实验预处理，实验条件（LC-MS参数）等。
3. 生信统计分析报告，包含1.原始色谱图检查及可视化；2. PCA分析；3. 偏最小二乘法判别分析（PLS-DA）；4.正交偏最小二乘法判别分析（OPLS-DA）；5.差异代谢物筛选及鉴定；6.代谢通路富集分析；7.聚类热图等
4. 多种同位素内标定量
参考文献
[1] Corte A D, Chitarrini G, Gangi I M D, et al. A rapid LC–MS/MS method for quantitative profiling of fatty acids, sterols, glycerolipids, glycerophospholipids and sphingolipids in grapes[J]. Talanta, 2015, 140:52-61. DOI:10.1016/j.talanta.2015.03.003.
[2]Chen X, Li Y, Cao X, et al. Widely targeted quantitative lipidomics and prognostic model reveal plasma lipid predictors for nasopharyngeal carcinoma[J]. Lipids in Health and Disease, 2023, 22(1). DOI:10.1186/s12944-023-01830-2.
[3] Zeng J, Liu S, Cai W, et al. Emerging lipidome patterns associated with marine
Emiliania huxleyi-virus model system[J]. Science of The Total Environment, 2019, 688:521-528. DOI:10.1016/j.scitotenv.2019.06.284.
[4] Zhu Q, Wu Y, Mai J, et al. Comprehensive Metabolic Profiling of Inflammation Indicated Key Roles of Glycerophospholipid and Arginine Metabolism in Coronary Artery Disease[J]. Frontiers in immunology, 2022, 13:829425. DOI:10.3389/fimmu.2022.829425.
[5] Qin M, Zhu Q, Lai W, et al. Insights into the prognosis of lipidomic dysregulation for death risk in patients with coronary artery disease[J]. Clinical and Translational Medicine, 2020, 10(5):e189. DOI:10.1002/ctm2.189.
